University of Córdoba

Q Fever is a zoonosis caused by Coxiella burnetii that affects domestic and wild ruminants, leading to reproductive disorders. In humans, the disease can manifest with respiratory and cardiac symptoms. Veterinarians, as healthcare professionals in close contact with animals, serve both as the first line of defence in preventing infection at the animal-human interfaz and as an important sentinel group for the rapid detection of outbreaks. The aim of this study was to assess the knowledge, perception, and attitude of veterinarians in Southern Spain regarding Q Fever. To this end, an online survey was designed, validated, and conducted among veterinarians in the province of Malaga, with a final participation of 97 individuals, predominantly from the private sector (clinic, livestock, agri-food, etc.). The data obtained reflected a general lack of knowledge about the disease, particularly concerning its epidemiology and infection prevention. Regarding perception and attitude, a significant percentage of respondents stated they did not use protective equipment when handling susceptible animals and only sought information about the disease in response to outbreak declarations. The study emphasized the significance of promoting training in zoonotic diseases during and after graduation, the relevance of official channels in occupational risk prevention, and the utility of epidemiological surveys as a tool to identify and address potential gaps in knowledge related to this disease.

Pérez-Pérez Francisco; Astorga Márquez Rafael Jesús; Galán-Relaño Ángela; Tarradas-Iglesias Carmen; Luque-Moreno Inmaculada; Gómez-Gascón Lidia; Luque Ibáñez Juan Antonio; Huerta Lorenzo Belén. Knowledge, Perception and Attitude of Veterinarians about Q Fever from South Spain. Preprints.org 2025 .

Pérez-Pérez Francisco, Astorga Márquez Rafael Jesús, Galán-Relaño Ángela, Tarradas-Iglesias Carmen, Luque-Moreno Inmaculada, Gómez-Gascón Lidia, Luque Ibáñez Juan Antonio, Huerta Lorenzo Belén. Knowledge, Perception and Attitude of Veterinarians about Q Fever from South Spain. Preprints.org. 2025; ():.

Pérez-Pérez Francisco; Astorga Márquez Rafael Jesús; Galán-Relaño Ángela; Tarradas-Iglesias Carmen; Luque-Moreno Inmaculada; Gómez-Gascón Lidia; Luque Ibáñez Juan Antonio; Huerta Lorenzo Belén. 2025. "Knowledge, Perception and Attitude of Veterinarians about Q Fever from South Spain." Preprints.org , no. : .

Enrique Soria Mesa. De Callières, Jacques La fortuna de los nobles y los hidalgos, traducción, edición, introducción y notas de Javier Laspalas, Bilbao, Servicio Editorial de la Universidad del País Vasco, 2024, LXXIX + 122 págs. ISBN: 9788490825969. Cuadernos de Historia Moderna 2025, 50, 199 -200.

Enrique Soria Mesa. De Callières, Jacques La fortuna de los nobles y los hidalgos, traducción, edición, introducción y notas de Javier Laspalas, Bilbao, Servicio Editorial de la Universidad del País Vasco, 2024, LXXIX + 122 págs. ISBN: 9788490825969. Cuadernos de Historia Moderna. 2025; 50 (1):199-200.

Enrique Soria Mesa. 2025. "De Callières, Jacques La fortuna de los nobles y los hidalgos, traducción, edición, introducción y notas de Javier Laspalas, Bilbao, Servicio Editorial de la Universidad del País Vasco, 2024, LXXIX + 122 págs. ISBN: 9788490825969." Cuadernos de Historia Moderna 50, no. 1: 199-200.

Nowadays, the evolution and growth of machine learning (ML) algorithms and the Internet of Things (IoT) are enabling new applications. Smart weapons and people detection systems are examples. Firstly, this work takes advantage of an efficient, scalable, and distributed system, named SmartFog, which identifies people with weapons by leveraging edge, fog, and cloud computing paradigms. Nevertheless, security vulnerabilities during data transmission are not addressed. Thus, this work bridges this gap by proposing a secure data transmission system integrating a lightweight security scheme named GS3. Therefore, the main novelty is the evaluation of the GS3 proposal in a real environment. In the first fog sublayer, GS3 leads to a 14% increase in execution time with respect to no secure data transmission, but AES results in a 34.5% longer execution time. GS3 achieves a 70% reduction in decipher time and a 55% reduction in cipher time compared to the AES algorithm. Furthermore, an energy consumption analysis shows that GS3 consumes 31% less power than AES. The security analysis confirms that GS3 detects tampering, replaying, forwarding, and forgery attacks. Moreover, GS3 has a key space of $2^{544}$ permutations, slightly larger than those of Chacha20 and Salsa20, with a faster solution than these methods. In addition, GS3 exhibits strength against differential cryptoanalysis. This mechanism is a compelling choice for energy-constrained environments and for securing event data transmissions with a short validity period. Moreover, GS3 maintains full architectural transparency with the underlying armed detection system.

Francisco Alcaraz-Velasco; José M. Palomares; Fernando León-García; Joaquín Olivares. Secure Data Transmission Using GS3 in an Armed Surveillance System. Information 2025, 16, 527 .

Francisco Alcaraz-Velasco, José M. Palomares, Fernando León-García, Joaquín Olivares. Secure Data Transmission Using GS3 in an Armed Surveillance System. Information. 2025; 16 (7):527.

Francisco Alcaraz-Velasco; José M. Palomares; Fernando León-García; Joaquín Olivares. 2025. "Secure Data Transmission Using GS3 in an Armed Surveillance System." Information 16, no. 7: 527.